IDEAS home Printed from https://ideas.repec.org/p/duk/dukeec/95-21.html
   My bibliography  Save this paper

A Mixture Model of Willingness to Pay Distributions

Author

Listed:
  • An, Mark Y.
  • Roberto Ayala

Abstract

In this paper we propose a mixture model of willingness to pay distributions for contingent valuation studies. By allowing a point mass at zero, this model nests the conventional model as a special case. We discuss both parametric and non- parametric estimations of the mixture model. We consider estimation under two different data information settings for a double bounded dichotomous choice format. The implications of the mixture model in the estimation of the mean and the median of the distribution are presented.

Suggested Citation

  • An, Mark Y. & Roberto Ayala, 1995. "A Mixture Model of Willingness to Pay Distributions," Working Papers 95-21, Duke University, Department of Economics.
  • Handle: RePEc:duk:dukeec:95-21
    as

    Download full text from publisher

    File URL: http://www.econ.duke.edu/Papers/Abstracts/abstract.95.21.html
    File Function: main text
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hanemann, W. Michael, . "Some Issues In Continuous - And Discrete - Response Contingent Valuation Studies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 14(1), pages 1-9.
    2. Mark Yuying An & Roberto Ayala, 1996. "Nonparametric Estimation of a Survivor Function with Across- Interval-Censored Data," Econometrics 9611003, University Library of Munich, Germany.
    3. An, Mark Y. & Roberto Ayala, 1995. "A Mixture Model of Willingness to Pay Distributions," Working Papers 95-21, Duke University, Department of Economics.
    4. Smith, V. Kerry, . "Some Issues In Discrete Response Contingent Valuation Studies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 14(1), pages 1-4.
    5. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Daniel McFadden, 1994. "Contingent Valuation and Social Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 689-708.
    7. Michael Hanemann & John Loomis & Barbara Kanninen, 1991. "Statistical Efficiency of Double-Bounded Dichotomous Choice Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(4), pages 1255-1263.
    8. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abay Asfaw & Joachim Braun, 2005. "Innovations in Health Care Financing: New Evidence on the Prospect of Community Health Insurance Schemes in the Rural Areas of Ethiopia," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 241-253, September.
    2. Jung-Eun Kim & Jungsung Yeo, 2010. "Valuation of Consumers’ Personal Information: A South Korean Example," Journal of Family and Economic Issues, Springer, vol. 31(3), pages 297-306, September.
    3. Day, Brett & Pinto Prades, Jose-Luis, 2010. "Ordering anomalies in choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 271-285, May.
    4. W. George Hutchinson & Riccardo Scarpa & Susan M. Chilton & T. McCallion, 2001. "Parametric and Non‐Parametric Estimates of Willingness to Pay for Forest Recreation in Northern Ireland: A Discrete Choice Contingent Valuation Study with Follow‐Ups," Journal of Agricultural Economics, Wiley Blackwell, vol. 52(1), pages 104-122, January.
    5. Mark Yuying An & Roberto Ayala, 1996. "Nonparametric Estimation of a Survivor Function with Across- Interval-Censored Data," Econometrics 9611003, University Library of Munich, Germany.
    6. Lee, Chul-Yong & Heo, Hyejin, 2016. "Estimating willingness to pay for renewable energy in South Korea using the contingent valuation method," Energy Policy, Elsevier, vol. 94(C), pages 150-156.
    7. Richard Bennett & Douglas Larson, 1996. "Contingent Valuation Of The Perceived Benefits Of Farm Animal Welfare Legislation: An Exploratory Survey," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 224-235, January.
    8. Ngouhouo Poufoun, Jonas & Abildtrup, Jens & Sonwa, Dénis Jean & Delacote, Philippe, 2016. "The value of endangered forest elephants to local communities in a transboundary conservation landscape," Ecological Economics, Elsevier, vol. 126(C), pages 70-86.
    9. Tian, Xu & Yu, Xiaohua & Holst, Rainer, 2011. "Applying the payment card approach to estimate the WTP for green food in China," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 23, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    10. Michaël Schwarzinger & Fabrice Carrat & Stéphane Luchini, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question". Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Post-Print inserm-00636179, HAL.
    11. Rhee, Hae-Chun & Lee, Kyu-yong & Cho, Joonmo, 2005. "Liberalizing employment of foreign workers in Korea: Public perception and assessment," Journal of Policy Modeling, Elsevier, vol. 27(8), pages 971-987, November.
    12. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    13. Carmelo León & Francisco Vázquez-Polo, 1998. "A Bayesian Approach to Double Bounded Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 11(2), pages 197-215, March.
    14. Giffoni, Francesco & Florio, Massimo, 2023. "Public support of science: A contingent valuation study of citizens' attitudes about CERN with and without information about implicit taxes," Research Policy, Elsevier, vol. 52(1).
    15. Massimo Florio & Francesco Giffoni, 2020. "A contingent valuation experiment about future particle accelerators at CERN," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-24, March.
    16. DeShazo, J. R., 2002. "Designing Transactions without Framing Effects in Iterative Question Formats," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 360-385, May.
    17. Pere Riera & Raúl Brey & Guillermo Gándara, 2008. "Bid design for non-parametric contingent valuation with a single bounded dichotomous choice format," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 43-60, October.
    18. W. Michael Hanemann, 1994. "Valuing the Environment through Contingent Valuation," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 19-43, Fall.
    19. Richard T. Carson & Miko_aj Czajkowski, 2014. "The discrete choice experiment approach to environmental contingent valuation," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 9, pages 202-235, Edward Elgar Publishing.
    20. Amirnejad, Hamid & Khalilian, Sadegh & Assareh, Mohammad H. & Ahmadian, Majid, 2006. "Estimating the existence value of north forests of Iran by using a contingent valuation method," Ecological Economics, Elsevier, vol. 58(4), pages 665-675, July.

    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:duk:dukeec:95-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Department of Economics Webmaster (email available below). General contact details of provider: http://econ.duke.edu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.